Logistic Regression Using SAS: Theory and Application

by Paul D. Allison

If you are a researcher or student with experience in multiple linear regression and want to learn about logistic regression, this book is for you! Informal and nontechnical, Paul Allison's Logistic Regression Using Theory and Application both explains the theory behind logistic regression and looks at all the practical details involved in its implementation using SAS. Several social science real-world examples are included in full detail. The book also explains the differences and similarities among the many generalizations of the logistic regression model. The following topics are binary logit analysis, logit analysis of contingency tables, multinomial logit analysis, ordered logit analysis, discrete-choice analysis with the PHREG procedure, and Poisson regression. Other highlights include discussions of how to use the GENMOD procedure to do log-linear analysis and GEE estimation for longitudinal binary data. Only basic knowledge of the SAS DATA step is assumed.

302 pages, Kindle Edition

First published January 1, 1999

Reviews

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
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[Jennifer · Rating 5 out of 5]

Finally a practical guide to doing logistic regression! Covers the many procedures available in SAS, including LOGISTIC, GENMOD, CATMOD, and PHREG. Extremely clearly written. An indispensable reference.